class_docstr: Main network which does cross-lingual embeddings training
docstr: Reports metrics of how training is going
docstr_tok: ["Reports","metrics","of","how","training","is","going"]
code: def report_metrics(iters, n_words_proc, disc_cost_acc, tic):
      """
      Reports metrics of how training is going
      """
      if iters > 0 and iters % 500 == 0:
          mean_cost = str(sum(disc_cost_acc) / len(disc_cost_acc))
          print(
              str(int(n_words_proc / (time.time() - tic)))
              + " Samples/Sec - Iter "
              + str(iters)
              + " Discriminator Cost: "
              + mean_cost
          )
          # Reset instrumentation
          del disc_cost_acc
          disc_cost_acc = []
          n_words_proc = 0
          tic = time.time()
  
imports: from __future__ import print_function, division
  import io
  import os
  import time
  import numpy
  import scipy
  import tensorflow
label_desc: Use image node_id 4 for calling the WordTranslator obj's underlying member method code with example usage: obj.report_metrics(iters, n_words_proc, disc_cost_acc, tic) without return types